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PyPy has a "trace optimizer": it works by running your code, tracing it and finding patterns that can be optimized out. For example: if a piece of code frequently adds two int objects, it will be optimized to use specialized code for integers, instead of calling type(x).__add__(y) every time.
You can read more here: http://rpython.readthedocs.io/en/...
Now if you break the problem down and trace small portions of code individually, the optimizer will find fewer patterns and optimize less code. This is why numbers are not adding up.
No questions asked
As a Python user and the fucking unicode mess, this is sooooo mean!
I just started working on a little project to browse devrant from terminal. It converts images to ascii art!
!rant
Ever find something that's just faster than something else, but when you try to break it down and analyze it, you can't find out why?
PyPy.
I decided I'd test it with a typical discord bot-style workload (decoding a JSON theoretically from an API, checking if it contains stuff, format and then returning it). It was... 1.73x the speed of python.
(Though, granted, this code is more network dependent than anything else.)
Mean +- std dev: [kitsu-python] 62.4 us +- 2.7 us -> [kitsu-pypy] 36.1 us +- 9.2 us: 1.73x faster (-42%)
Me: Whoa, how?!
So, I proceed to write microbenches for every step. Except the JSON decoding, (1.7x faster was at least twice as slow (in one case, one hundred times slower) when tested individually.
The combination of them was faster. Huh.
By this point, I was all "sign me up!", but... asyncpg (the only sane PostgreSQL driver for python IMO, using prepared statements by default and such) has some of it's functionality written in C, for performance reasons. Not Cython, actual C that links to CPython. That means no PyPy support.
Okay then.
rant
performance
python
pypy